Proceedings of the 2nd International Conference on Information, Electronics and Computer

Study on the Application of the Theory of Rough Sets to Text Excavation

Authors
Dali Yin, Yan Yan
Corresponding Author
Dali Yin
Available Online March 2014.
DOI
https://doi.org/10.2991/icieac-14.2014.26How to use a DOI?
Keywords
rough set; data excavation; text excavation; attribute reduction; correlation rules
Abstract
The rough set theory is a new calculation which deduces the concept categorization rules through attribute reduction with the categorization capacity remaining unchanged, and has wide application to data excavation and text excavation. This paper focuses on the analysis and improvement of the application of the rough set theory to text excavation, embracing the two aspects of attribute reduction based on clear matrix and correlation rules based on the Apriori algorithm. Compared with the classic algorithms, the improved algorithm can cut down a great deal on the expenditure of time and space in its operation, and improves considerably in its performance of processing the large-scale text database excavation. This research result has great theoretical significance to the application of the rough set theory and its algorithm to text excavation.
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Proceedings
2nd International Conference on Information, Electronics and Computer
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-90-78677-99-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/icieac-14.2014.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dali Yin
AU  - Yan Yan
PY  - 2014/03
DA  - 2014/03
TI  - Study on the Application of the Theory of Rough Sets to Text Excavation
BT  - 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.26
DO  - https://doi.org/10.2991/icieac-14.2014.26
ID  - Yin2014/03
ER  -